Digital Commons Network^™

Factor Structure Of The Ces-D-20 Scale In Young Adults In Singapore: An Examination Of Six Alternative Structures And Measurement Invariance By Sex, Nadyanna M. Majeed, K. T. A. Sandeeshwara Kasturiratna, Nicole Ruiying Chen, Andree Hartanto

Research Collection School of Social Sciences

Building on past research that has indicated cultural variations in the factor structure of the 20-item Center for Epidemiologic Studies Depression Scale (CES-D-20), as well as several limitations validating the CES-D-20 within a Singapore context, this study investigated the CES-D-20's factor structure and sex-based measurement invariance in Singapore. A large young adult sample in Singapore (N = 1008) was utilised, and the original CES-D-20 was administered to all participants. The findings confirmed the four-factor model's robustness over five other alternative models (RMSEA = .05, SRMR = .04), where each of the 20 items loaded significantly onto its respective factor (all …

Costly Signaling Theory, Hui Ying Ivy Koh, Norman P. Li

Research Collection School of Social Sciences

Costly signaling theory is the idea that the high costs incurred by an individual to convey information about underlying qualities keeps this signal reliable, as only individuals who truly possess the quality signaled can afford to send the signal.

Neutrosophic Cox Proportional Hazards Model For Robust Variable Selection In Survival Analysis, Ibrahim Yasser, Aya A. Abd El-Khalek, A. A. Salama, Doaa A. Abdo

Neutrosophic Systems with Applications

This paper introduces a novel approach for variable selection in survival analysis by integrating neutrosophic logic into the Cox Proportional Hazards (Cox PH) model to address the limitations of recent studies related to high dimensionality. Neutrosophic logic, is a mathematical framework that allows for uncertainty, indeterminacy, and inconsistency, and particularly well suited for handling the complexity and often-ambiguous nature of biological data. By incorporating neutrosophic sets into the Cox PH model, we aim to enhance model robustness, improve variable selection, and address the curse of dimensionality. We compare the performance of the neutrosophic-enhanced Cox PH model with traditional variable selection …

Patterns Of Interactions In Human-Machine Teams, Kazuhiko Momose

Theses and Dissertations

Increasingly capable machines, including Artificial Intelligence (AI) agents are playing a more important role in a wide range of applications, including human daily activities and safety-critical systems. They can benefit even more when humans and such machines agents work together as a team by leveraging each other's strengths and complementing each other to enhance overall performance. To design high-performing teams, it is critical to analyze the team dynamics and understand how humans and machines interact with each other. Collaboration, Coordination, and Cooperation (3Cs) are terms typically used to describe the behavior of teams. However, these terms tend to be used …

Malicious Compliance: Examining Revenge Behaviors In Organizations, Patricia Jewel Emily Morrison

Theses and Dissertations

Revenge is a multifaceted behavior that manifests in various forms. The purpose of this dissertation was to examine a particular form of revenge known as malicious compliance, which has yet to be sufficiently researched. A two-study approach was used to examine malicious compliance. In the first study, qualitative data was collected from an online forum for sharing malicious compliance experiences. In the second study, 352 participants completed a mixed-methods survey online. Data from both studies was analyzed in RStudio and MAXQDA. Study 1 utilized unsupervised machine learning techniques, non-machine learning techniques, and thematic coding techniques to analyze the forum dataset. …

The Design And Implementation Of A Modular Tissue Engineering Test Bed To Pursue An Alternate Pathway Of Cell Culture Based Research, Ryley Patrick Griffin

Theses and Dissertations

The development of a Modular Automated Tissue Engineering Test Bed (MATETB) is the next step in the development of cheap and easily available in vitro cell regulatory systems for both academic and industrial purposes. This project outlined the framework and requirements for a device that could automatically regulate and collect data on a cell culture through the manipulation of its liquid environment. From this framework, a prototype was built. The device would fulfill cell culture needs while collecting data automatically and allowing for live viewing and imaging of cells. The device was comprised of a mechanical skeleton (MS), an environmental …

The Provision Of Healthcare For Older Adults In A Massachusetts Jail/House Of Correction: Perspectives From Providers, Laura Driscoll

Graduate Doctoral Dissertations

THE PROVISION OF HEALTHCARE FOR OLDER ADULTS IN A MASSACHUSETTS JAIL/HOUSE OF CORRECTION: PERSPECTIVES FROM PROVIDERS November 2024 Laura C. Driscoll, B.S., Boston University M.S.P.T., Boston University DPT, MGH Institute of Health Professions M.S., University of Massachusetts Boston Ph.D., University of Massachusetts Boston Directed by Professor Jan Mutchler The aging population in U.S. jails is growing rapidly presenting significant challenges for healthcare provision within carceral settings. Older adults in these facilities often experience complex health conditions, including chronic diseases and age-related impairments, that require specialized care. Despite this, limited research has explored the experiences of healthcare providers tasked with caring …

Introducing A Practitioner's Framework For Mobilizing Collective Action, Matthew Paul Bond

Graduate Doctoral Dissertations

INTRODUCING A PRACTITIONER’S FRAMEWORK FOR MOBILIZING COLLECTIVE ACTION December, 2024 Matthew P. Bond, B.A. University of North Carolina Greensboro, M.S., University of Massachusetts Boston, M.P.A., Suffolk University, Ph.D., University of Massachusetts Boston Directed by Christian Weller Social dilemmas are situations in which individual and collective incentives are at odds, leading to suboptimal collective outcomes that make all individuals worse off. Modeling policy problems stuck in stasis as social dilemmas reveals new solution pathways that promise progressive change. The solution to a social dilemma is collective action, yet since the introduction of the collective action problem in the 1960’s, a solution …

Democratizing The Early Identification Of Alzheimer's Disease And Access To Care: The Role Of Psychologists In Brief Assessment, Jacqueline S. Hogan

Graduate Doctoral Dissertations

As Alzheimer’s disease (AD) presents a growing public health challenge, accessible early detection tools are urgently needed. This study used data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (N = 1,536) to evaluate the ability of machine learning models to predict a conversion from normal cognition or mild cognitive impairment (MCI) to AD. A brief neuropsychological battery, including the Alzheimer’s Disease Assessment Scale–Cognitive Subscale (ADAS13), Mini-Mental State Examination (MMSE), Rey Auditory Verbal Learning Test (RAVLT), and Functional Activities Questionnaire (FAQ), was employed. The Gradient Boosted Trees model demonstrated superior performance, achieving an F1 score of 0.88, recall of 0.93, precision …

The Application Of High-Resolution Mass Spectrometry For The Analysis Of Biopolymers, Metabolites, And Biologically Relevant Small Molecules, Christ Duc Tran

Graduate Doctoral Dissertations

High-resolution mass spectrometry (HRMS), as its name suggests, possesses high resolving power that enables the separation of ions with very close mass values. This is particularly beneficial for analyzing complex samples where numerous compounds may have similar masses, as it helps prevent signal overlaps and ensures an accurate spectral analysis. The current work explores the diverse applications of high-resolution mass spectrometry in oligonucleotide research, organic synthesis and medicinal chemistry. Oligonucleotide research: Chapters 2-5 present the research results from studies that employed ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) to understand the pharmacokinetics of RNA interference (RNAi) therapeutics. The …

Navigating The Anglo-Irish Landscape: Imaginative Geographies In Bram Stoker And Elizabeth Bowen's Novels, Natalie Pearson

Theses/Capstones/Creative Projects

There has been great work done by scholars of Anglo-Irish Gothic tradition to assess the place of classic fictional characters within that tradition. Could a character’s identity contain an Irish dimension? Could they be, perhaps, an allegorical embodiment of the Anglo-Irish Protestant Ascendancy or native Irish peasantry? All excellent questions; however, this present study looks to explore a different perspective by considering “place” itself across four Anglo-Irish Gothic novels: that of Bram Stoker’s The Snake’s Pass (1890) and Dracula (1897) and Elizabeth Bowen’s The Last September (1929) and Bowen’s Court (1942). I seek to highlight the physical landscape in each …

An Exploration Of The Intersections Of The Science Of Reading And Culturally Sustaining Pedagogies: A Constructivist Grounded Theory Study Of Preservice Teachers’ Practice With Teaching Reading Comprehension, Elizabeth Kittleman

Theses and Dissertations

This study explores the possibilities and tensions that emerged when preservice teachers integrated both the science of reading and a culturally sustaining framework when learning about and teaching reading comprehension. Utilizing a constructivist grounded theory methodology, this research draws on data from interviews, student coursework samples, and a researcher journal collected over the course of a semester. During data analysis, four emergent themes were constructed: managing the multiple realities of teaching reading, leveraging background knowledge, navigating biculturalism and inequities, and negotiating a teacher’s role. Findings illustrate the complex relationship between theory and practice when preservice teachers draw on students’ linguistic …

Aid Or Abuse? A Review Of U.S. Police Assistance Programs In Latin America During The Early Cold War, Brianna Mcnally

War, Diplomacy, and Society (MA) Theses

During the Cold War, the United States used police assistance programs in under-developed countries to stop the spread of communism. Police aid aimed to improve a country’s economic stability and internal security to curb the rise of communist revolutions. The U.S. government charged the Office of Public Safety (OPS) within the U.S. Agency for International Development (USAID) with managing police assistance programs around the world, including in Asia, Africa, and Latin America.

Despite its seemingly good intentions, the OPS became a short-lived program now known today for its ties to human rights abuses, especially throughout Latin America. Several Latin American …

An Update On Novel Taxa And Revised Taxonomic Status Of Bacteria Isolated From Domestic Companion And Agricultural Animals Described In 2023, Sara D. Lawhon, Claire R. Burbick, Trinity Kreuger, Elena Ruiz-Reyes, Erik Munson

Clinical Lab Sciences Faculty Research and Publications

With the proliferation of abundant bacterial genomic data comes the recognition of new organisms as well as a better understanding of the relatedness of known bacteria. Recognizing the associated taxonomic changes enhances communication and understanding about the significance of novel organisms and deeper understanding of known pathogens. This review addresses the addition of multiple gastrointestinal bacteria that form the normal microbiota in a variety of animals including honeybees as well as novel bacteria from domestic animals including an alpha-hemolytic Streptococcus species from guinea pigs, two Moraxella spp. from cows and goats, a new Capnocytophaga species from cats, a thermophilic Campylobacter …

Hybrid Deep Learning-Based Model For Eclipse Attack Detection On Ethereum Network, Dhanasak Bhumichai

Graduate Theses and Dissertations (2019 - present)

An eclipse attack is a significant cyber threat targeting the network layer of blockchain platforms. Detecting eclipse attacks is challenging for several reasons. First, there are no available datasets for training and testing models. Second, comprehensive studies identifying features to detect eclipse attacks are lacking. Additionally, the amount of eclipse network traffic is much smaller than that of normal network traffic, which leads to imbalanced samples. Moreover, the characteristics of eclipse network traffic closely resemble those of normal traffic, causing overlapping samples, which makes it challenging for traditional classifiers to learn how to identify eclipse attacks. To address these challenges, …

Recovery Resiliency Of Interdependent Power Systems Infrastructure Subject To Extreme Events, Partha P. Sarker

Graduate Theses and Dissertations (2019 - present)

When Hurricane Maria struck the island of Puerto Rico on September 20, 2017, it devastated the island’s aging power systems infrastructure and inflicted an island-wide power outage that left Puerto Rico in total darkness for an entire week before the system slowly started to recover. This unprecedented failure of the critical power systems infrastructure exacerbated the failure of other critical infrastructures or lifeline systems of the island. This research explores and quantifies the relationships or interdependencies that exist between the power systems and other critical infrastructure systems by investigating the post-hurricane recovery data of these lifeline systems. Subsequently, the research …

Three-Dimensional Environmentally Sustainable Neuromorphic Computing System Based On Natural Organic Memristor, Mohammed Rafeeq Khan

Graduate Theses and Dissertations (2019 - present)

A three-dimensional neuromorphic (3D) computing architecture based on environmentally sustainable natural organic honey memristors is proposed in this thesis. A set of comprehensive and experimental results indicate that the proposed systems exhibit remarkable inference accuracy, consistently surpassing the 90% threshold, even with different challenges such as device variations and nonlinearity. This study also considers four different conductance drift situations, the effects of analog-to-digital converter (ADC) quantization, and multiple algorithms, such as VGG8 and DenseNet-40. The deliverable of this thesis will test the stability of the proposed systems and explore their potential applications and scalability in real-world situations.

Covid-19 Risk Assessment Among Vulnerable Small Business Owners In El Paso County, Texas, Sadie H Conway, Denise Vasquez, Kristina D Mena, Louis D Brown, Soyoung Kwon, Janelle Rios

Faculty, Staff and Student Publications

Background: Our objective was to deliver actionable, worksite-specific COVID-19 risk assessments and mitigation strategies tailored to vulnerable workers in one of the highest-risk areas in the US.

Methods: Four trained, bilingual (English/Spanish) community health workers (CHWs) recruited small businesses (ie, ≤20 employees) across various industries and executed novel on-site infectious disease risk assessment surveys of at least one employer and one employee.

Results: Of 102 participating businesses (95% Hispanic-owned), 96% were characterized as "high risk" or "very high risk" for disease transmission. All businesses reported implementing at least one practice to reduce disease transmission; however, almost half of businesses lacked …

The Association Between Care Integration And Care Quality, Micah B Aaron, Michaela Kerrissey, Zhanna Novikov, Maike V Tietschert, Adam Scherling, Hassina Bahadurzada, Russell S Phillips, Anna D Sinaiko, Sara J Singer

Faculty, Staff and Student Publications

Objective: The study aims to analyze the relationship between care integration and care quality, and to examine if the relationship varies by patient risk.

Data sources and study setting: The key independent variables used validated measures derived from a provider survey of functional (i.e., administrative and clinical systems) and social (i.e., patient integration, professional cooperation, professional coordination) integration. Survey responses represented data from a stratified sample of 59 practice sites from 17 health systems. Dependent variables included three quality measures constructed from patient-level Medicare data: colorectal cancer screening among patients at risk, patient-level 30-day readmission, and a practice-level Healthcare Effectiveness …

Evaluation Of The Etiology Of Recurrent Pregnancy Loss (Rpl): An Explanatory Mixed Methods Study Exploring Obstetrician Gynecologist Clinical Provider Behaviors And Factors Contributing To Incomplete Evaluations, Emelia Grant

Doctor of Philosophy in Translational Health Sciences Dissertations

Background: More than 50% of patients with recurrent pregnancy loss (RPL) are left without explanations for their losses. However, current research suggests that up to 90% of these individuals could receive explanations through evidence-based laboratory testing. Professional guidelines vary in their recommendations for laboratory testing and RPL evaluation, which can contribute to delayed or fragmented care and untreated maternal disease. Inequities in access to genetic testing further complicate the diagnostic landscape of RPL since payor policies often determine which tests are covered, leaving many patients without access due to financial constraints.

Objective: This study aimed to evaluate current practices of …

Civil Litigation | Notes, Arthur S. Leonard

Other Publications

No abstract provided.

Analysis And Optimization Of Machine Learning Models For Network Intrusion Detection, Willie Lee Waters

All Dissertations

Network intrusion detection NID) is a technology that monitors network traffic and identifies abnormal activity. The ability to identify malicious activity can be manifested by application of artificial intelligence and machine learning (ML). This research delved into analysis, development, and optimization of supervised, unsupervised, and reinforcement learning approaches to network anomaly detection. In the past 10 years, there has been a substantial amount of research on supervised learning, a type of ML that is trained from a prelabeled network dataset that tags each sample with benign or abnormal labels. Unsupervised and reinforcement learning research has been minimal.

This study evaluated …

D-Optimal Joint Best Linear Unbiased Predictors In Progressively Type-Ii Ordered Statistics, Tamim Alam

Open Access Theses & Dissertations

Reliability and life-testing experiments play a crucial role in understanding the longevity and performance of systems and components, particularly in high-stakes applications such as engineering, manufacturing, and quality control. In this thesis, we focus on the prediction of future unobserved failure times by employing joint predictors based on progressively Type-II censored data obtained from such life-testing experiments. Specifically, we derive explicit analytical expressions for the joint best linear unbiased predictors (BLUPs) of two future order statistics under the D-optimality criterion. The derivation involves minimizing the determinant of the variance-covariance matrix of the predictors within the context of progressively Type-II censored …

The Journey And Lived Experience Of Dropout, Hispanic, Teen Fathers, Patricia Ann Cuevas

Open Access Theses & Dissertations

The dropout phenomenon in the United States is an ongoing concern, especially regarding teen fathers. The purpose of this qualitative phenological study was to examine how Hispanic men who fathered a child as adolescent understood and made sense of their lived experiences of dropping out of high school and later returning to their studies. Semi-structured interviews were utilized to gather the data. An analysis of the findings was conducted, revealing the themes of emotional distress, expectations, hard lessons, and the impact of fatherhood. The themes were then applied to the theorical framework of Sensemaking. The results revealed that the participants …

Accessibility And Usability Of Medical Devices For Users With Disabilities: Insights From A Bibliometric And Thematic Analysis, Karen Daniela Gonzalez Silva

Open Access Theses & Dissertations

No abstract provided.

Integrating Responsible And Ethical Conduct Of Research Into Cures: A Longitudinal Study Observing Professional Development Of Fellows Within The Ethics Network For Course-Based Opportunities In Undergraduate Research, Aimee Angelica Hernandez-Gaytan

Open Access Theses & Dissertations

No abstract provided.

Thermal Inequity Along The Us-Mexico Border: An Analysis Of El Paso, Texas, Mia Alexandra Trevino

Open Access Theses & Dissertations

The Urban Heat Island effect (UHI) combined with rising average global temperatures invariably results in thermal inequality, the unequal distribution of temperature patterns by different socioeconomic and sociodemographic groups, resulting in an array of negative public health impacts. This thesis research focused on the historical factors that contribute to UHI and tree cover in historically underserved neighborhoods in El Paso, Texas. The impact of maps from 1933-1954 created by the Home Ownerâ??s Loan Corporation (HOLC), a federal selective lending program, resulted in decades of disinvestment and inequality especially in redlined areas. Geospatial analyses of environmental and socioeconomic indicators such as …

The Back Page: The Personal Touch Makes The Difference, Riley Schaff D.D.S.

The Journal of the Michigan Dental Association

Dr. Riley Schaff discusses the importance of personal connection in engaging new dentists with organized dentistry. Drawing from his own experience of being personally invited to chair a New Dentist Study Club, he emphasizes that direct, personal outreach is more effective than digital communication in encouraging participation among early-career dentists.

The article highlights ongoing efforts at the state level to increase engagement, including enhanced presence at local events and networking programs. However, Schaff argues that grassroots efforts at the local component level are crucial for significant change in membership rates. He concludes that personal engagement from existing members is essential …

What You Must Know: Retention And Destruction Of Dental Records And Your Most-Asked Questions About Dental Records, Daniel Schulte Jd

The Journal of the Michigan Dental Association

An overview of the basic information about dental records, including retention and destruction, that you and your staff should be aware of, provided by MDA Legal Counsel Dan Schulte, J.D. Plus, for your reference, answers to the questions Michigan dental offices are asking about dental record retention, access, release, and destruction.

Dental records are vital for patient care, legal compliance, and professional practice management. Michigan law mandates retaining dental records for a minimum of 10 years, ensuring their confidentiality, accessibility, and integrity. Destruction of records less than 10 years old requires patient notification and authorization, while those over 10 years …

Enhancing The Utility Of Unmanned Autonomous Vehicles (Uavs) With Model-Based Systems Engineering (Mbse) And Modular Open Systems Approach (Mosa), Aimee Barraza

Open Access Theses & Dissertations

Unmanned Autonomous Vehicles (UAVs) have emerged as versatile tools with significant implications across various industries, particularly in defense. The technological advancements in UAVs have revolutionized military operations, surveillance, and reconnaissance capabilities. However, there exist challenges such as environmental factors affecting sensor and flight performance, limited battery life restricting flight durations, and payload capacity constraints impeding task efficiency.This paper delves into the importance of UAVs in different industries, specifically focusing on their pivotal role in the Department of Defense. It emphasizes the necessity of technological upgrades to overcome current challenges and proposes the adoption of a Modular and Open System Approach …